Results 171 to 180 of about 22,865 (233)

FuzzyNet: Medical Image Classification based on GLCM Texture Feature

Artificial Intelligence and Symbolic Computation, 2023
In recent study has found that high-precision monitoring, big data, and medical diagnosis continue to be hampered by transit delays. We designed and implemented an unique fuzzy logic-based method to help with this problem.
Vipul Narayan, P. Mall, Shashank Awasthi, Swapnita Srivastava, Anurag Gupta   +4 more
semanticscholar   +1 more source

Measuring continuous landscape patterns with Gray-Level Co-Occurrence Matrix (GLCM) indices: An alternative to patch metrics?

Ecological Indicators, 2020
Characterizing landscape patterns is an important analytical step towards understanding the effects of physical layouts on ecological and social processes.
Yujin Park, Jean-Michel Guldmann
exaly   +2 more sources

GLCM: Global–Local Captioning Model for Remote Sensing Image Captioning

IEEE Transactions on Cybernetics, 2022
Remote sensing image captioning (RSIC), which describes a remote sensing image with a semantically related sentence, has been a cross-modal challenge between computer vision and natural language processing.
Qi Wang, Wei Huang, Xueting Zhang, Xuelong Li   +3 more
semanticscholar   +1 more source

GLCM and its application in pattern recognition

2017 5th International Symposium on Computational and Business Intelligence (ISCBI), 2017
Grey Level Co-Occurrence matrix is one of the oldest techniques used for texture analysis. The Grey Level Co-Occurrence matrix has two important parameters i.e. distance and direction. In this paper various combinations of distance and directional angles used for GLCM calculation are analyzed in order to recognize certain patterned images based on ...
Shruti Singh, Divya Srivastava, Suneeta Agarwal   +2 more
openaire   +1 more source

Automated screening of glaucoma stages from retinal fundus images using BPS and LBP based GLCM features

International journal of imaging systems and technology (Print), 2022
Glaucoma is an eye disease in which the retinal nerve fibers are irreversibly damaged. Early identification of glaucoma is essential because it may slow the progression of the illness.
R. Patel, Manish Kashyap
semanticscholar   +1 more source

Brain tumor classification: a novel approach integrating GLCM, LBP and composite features

Frontiers in Oncology
Identifying and classifying tumors are critical in-patient care and treatment planning within the medical domain. Nevertheless, the conventional approach of manually examining tumor images is characterized by its lengthy duration and subjective nature ...
G. Dheepak, Anita Christaline, D. Vaishali, Dimitrios Kanakis, M. Kuncan   +4 more
exaly   +2 more sources

Fast GLCM-based Intra Block Partition for VVC

2021 Data Compression Conference (DCC), 2021
In the latest video coding standard, Versatile Video Coding (H.266/VVC), a new quadtree with nested multi-type tree (QTMTT) coding block structure is proposed. QTMTT significantly improves coding performance, but more complex block partitioning structure brings greater computational burden.
Huanchen Zhang, Li Yu 0003, Tiansong Li, Hongkui Wang   +3 more
openaire   +1 more source

GLCM and Fuzzy Clustering for Ocean Features Classification

2010 International Conference on Machine Vision and Human-machine Interface, 2010
since Seasat lunched in 1978, much understanding has been gained on the potential of synthetic aperture radar (SAR) technology in oceanography. In this paper, the ocean features, i.e., internal waves, ocean fronts, present in SAR images are discussed.
Ronghua Tao, Jie Chen, Biao Chen, Cuihua Liu   +3 more
openaire   +1 more source

Pattern-based image retrieval using GLCM

Neural Computing and Applications, 2018
Gray-level co-occurrence matrix (GLCM) is one of the oldest techniques used for texture analysis. It has two important parameters, i.e., distance and direction. In this paper, various combinations of distance and directional angles used for GLCM calculation are analyzed in order to recognize certain patterned images based on their textural features. In
Divya Srivastava, Rajitha Bakthula, Suneeta Agarwal, Shruti Singh   +3 more
openaire   +1 more source

Oil spill detection using GLCM and MRF

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005
This paper presents a study for oil spill detection in three steps. The first one considers the texture as a two dimensions array, and to describe the statistics iteration between pixels the algorithm computes a textural feature related with the Gray Level Co-occurrence Matrix (GLCM).
Ludwin Lopez, Miguel Moctezuma, Flavio Parmiggiani   +2 more
openaire   +3 more sources